69
/100

SOC 19-4012

Agricultural Technicians

High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

69/100

High Risk

US Employment

๐Ÿ‘ฅ

14,340

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$33K โ€“ $69K

Projected Growth

๐Ÿ“ˆ

+4.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

71/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Agricultural Technicians face a risk score of 69/100 โ€” 25 points above the national average of 44. With 71/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($480 above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 69/100, Agricultural Technicians faces moderate automation pressure. While tasks like automated data interpretation and insight generation are increasingly handled by AI, the role retains significant human elements. The 14,340 workers in this occupation should focus on strengthening skills in ethical oversight of research involving human subjects and collaborative scientific discourse and peer review to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Agricultural Technicians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated data interpretation and insight generation

2

Robotic sample preparation and experimentation

3

Automated laboratory instrumentation and workflows

4

AI literature review and meta-analysis automation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Ethical oversight of research involving human subjects

โœ“

Collaborative scientific discourse and peer review

โœ“

Fieldwork in unstructured natural environments

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Prepare land for cultivated crops, orchards, or vineyards by plowing, discing, leveling, or contouring.

โ€ข

Operate farm machinery, including tractors, plows, mowers, combines, balers, sprayers, earthmoving equipment, or trucks.

โ€ข

Record data pertaining to experimentation, research, or animal care.

โ€ข

Maintain or repair agricultural facilities, equipment, or tools to ensure operational readiness, safety, and cleanliness.

โ€ข

Perform crop production duties, such as tilling, hoeing, pruning, weeding, or harvesting crops.

๐Ÿ’ป Technology Skills

โ€ข

Desktop publishing software

โ€ข

Electronic mail software

โ€ข

Geographic information system

โ€ข

Mobile location based services software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Computers and Electronics

โ€ข

Food Production

โ€ข

Biology

โ€ข

Sales and Marketing

๐Ÿ“Š vs National Average

Median Wage$47K
+$480

National avg: $46K

Risk Score69/100
+25

National avg: 44/100

GenAI Exposure71/100
+33

National avg: 38/100

Projected Growth4.3%
+0.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K81%
Political Scientists25$139K73%
Occupational Health and Safety Specialists and Technicians26$79K71%